The present systems, devices, and methods relate to managing shared vehicle access. Vehicle access can be provided to a candidate user based on whether the user is included in a list of at least one user associated with a respective virtual key. Virtual keys can be created, or lists of at least one user can be updated to include the candidate user, to in turn provide vehicle access. Virtual keys can be stored in a plurality of virtual key slots, with vehicle access being provided based on a virtual key stored in an active key slot. Status reports can be sent to a reservation management device, for updating virtual keys or lists of at least one user.
Systems and methods for detecting bad installations of telematics devices are provided. The method involves operating at least one processor to: receive image data associated with an installation of a telematics device in a vehicle; extract a portion of the image data containing the telematics device using a first machine learning model trained to detect the telematics device in the image data; determine whether the telematics device was correctly installed using a second machine learning model on the extracted portion of the image data, the second machine learning model trained to classify the telematics device in the extracted portion of the image data based on a position and orientation of at least one fastener attached to the telematics device; and automatically execute at least one action in response to and based on the determination of whether the telematics device was correctly installed.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
Described herein are systems and methods for identifying a diagnostic trouble code (DTC) cycle for a vehicle. In an embodiment, one such method may comprise operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; identify, using the telematics data, a DTC generated by one or more of the plurality of vehicles, each DTC having a DTC status associated therewith; determine, for each DTC, the ignition cycle during which the DTC was generated; identify, for each DTC, a DTC status cycle by merging consecutive ignition cycles during which the DTC is generated with a consistent DTC status associated therewith; and identify, for each DTC, a DTC cycle based at least in part on each DTC status cycle identified for the DTC.
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
4.
SYSTEMS AND METHODS FOR MANAGING SEGMENTED IMAGE DATA FOR VEHICLES
Systems, devices, and methods for segmenting image data and utilizing image data having different pixel densities are described. One or more image capture devices can capture vehicle-related image data, which can be segmented such that regions of the image data which are directed to important content and/or far away content can have higher pixel density than regions of the image data directed to less important content and/or content close the one or more image capture devices. Image analysis is performed on the segmented image data. Output image data is generated of a lower pixel density to reduce storage and/or transmission requirements.
B60R 16/02 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric
G06F 16/50 - Information retrievalDatabase structures thereforFile system structures therefor of still image data
Systems, devices, and methods for segmenting image data and utilizing image data having different pixel densities are described. One or more image capture devices can capture vehicle-related image data, which can be segmented such that regions of the image data which are directed to important content and/or far away content can have higher pixel density than regions of the image data directed to less important content and/or content close the one or more image capture devices. Image analysis is performed on the segmented image data. Output image data is generated of a lower pixel density to reduce storage and/or transmission requirements.
G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
6.
SYSTEMS AND METHODS FOR OPERATING FLEET MANAGEMENT SYSTEMS
Systems and methods for operating fleet management systems are provided. The systems and methods can involve a plurality of device data importer services, at least one data access service, and a plurality of application programing interface (API) services. The plurality of device data importer services can receive and process first and second telematics data to generate first and second processed telematics data. The at least one data access service can store the first and second processed telematics data in first and second databases. The plurality of API services can receive first and second requests associated with the first and second processed telematics data and transmit first and second responses. The systems and methods can also involve an upgrader application and a plurality of client applications. The upgrader application can determine at least one supported schema change for the database and upgrade the database schema by applying the schema change.
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
7.
METHODS AND DEVICES FOR TRIP DETECTION IN AN ASSET TRACKER
An asset tracker for detecting an end of trip by an asset tracker are described. An end of trip may be detected using a Global Navigation Satellite System (GNSS) module or an Inertial Measurement Unit (IMU), such as a three-axis accelerometer. In some implementations, the asset tracker uses the IMU for end of trip detection. In other implementations, the asset tracker uses the IMU for impact detection while using the GNSS module for end of trip detection.
Systems and methods for operating fleet management systems are provided. The systems and methods can involve a plurality of device data importer services, at least one data access service, and a plurality of application programing interface (API) services. The plurality of device data importer services can receive and process first and second telematics data to generate first and second processed telematics data. The at least one data access service can store the first and second processed telematics data in first and second databases. The plurality of API services can receive first and second requests associated with the first and second processed telematics data and transmit first and second responses. The systems and methods can also involve an upgrader application and a plurality of client applications. The upgrader application can determine at least one supported schema change for the database and upgrade the database schema by applying the schema change.
Systems and methods for operating fleet management systems are provided. The systems and methods can involve a plurality of device data importer services, at least one data access service, and a plurality of application programing interface (API) services. The plurality of device data importer services can receive and process first and second telematics data to generate first and second processed telematics data. The at least one data access service can store the first and second processed telematics data in first and second databases. The plurality of API services can receive first and second requests associated with the first and second processed telematics data and transmit first and second responses. The systems and methods can also involve an upgrader application and a plurality of client applications. The upgrader application can determine at least one supported schema change for the database and upgrade the database schema by applying the schema change.
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
10.
Systems and methods for training vehicle collision and near-miss detection models
Systems, methods, models, and training for collision detection and near miss detection are discussed. Models are trained to identify collisions and near misses between two vehicles, based on how quickly a bounding box size changes for a vehicle represented in image data. Rapidly changing bounding box size is indicative of extreme proximity between vehicles, and thus indicative of collision or near-miss scenarios. Identifications of collisions or near misses can be reported to a remote operator, to send emergency assistance, perform driver evaluation, or alert other drivers in the area of risks.
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a patternLocating or processing of specific regions to guide the detection or recognition
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
Apparatus, methods and system relating to a vehicular telemetry environment for an intelligent Bluetooth beacon I/O expansion of the vehicular telemetry hardware system. The intelligent Bluetooth beacon I/O expansion provides a capability to receive beacon data, log beacon data, communicate beacon data and operate on beacon data to determine and further communicate a range of operational conditions, such as damage, hazardous and missing objects in the form of text messages, audio messages or compliance and management reports.
G06F 13/10 - Program control for peripheral devices
G08C 17/02 - Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
H04W 4/02 - Services making use of location information
H04W 4/029 - Location-based management or tracking services
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
12.
METHODS AND DEVICES FOR TRIP DETECTION IN AN ASSET TRACKER
An asset tracker for detecting an end of trip by an asset tracker are described. An end of trip may be detected using a Global Navigation Satellite System (GNSS) module or an Inertial Measurement Unit (IMU), such as a three-axis accelerometer. In some implementations, the asset tracker uses the IMU for end of trip detection. In other implementations, the asset tracker uses the IMU for impact detection while using the GNSS module for end of trip detection.
G01S 19/49 - Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system whereby the further system is an inertial position system, e.g. loosely-coupled
13.
METHODS AND DEVICES FOR ACTIVATING AN ASSET TRACKER
A method of activating an asset tracker from an ultra-low power shipping mode to a motion detection mode. The method includes detecting an activation trigger activity including double-tapping on the housing of the asset tracker, touch sensing, optical sensing, and loss of proximity with a proximity object in the packaging of the asset container.
G01P 15/18 - Measuring accelerationMeasuring decelerationMeasuring shock, i.e. sudden change of acceleration in two or more dimensions
G01V 3/08 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
14.
Methods and Devices for Activating an Asset Tracker
A method of activating an asset tracker from an ultra-low power shipping mode to a motion detection mode. The method includes detecting an activation trigger activity including double-tapping on the housing of the asset tracker, mid-air gestures comprising orientation changes, touch sensing, optical sensing, and loss of proximity with a proximity object in the packaging of the asset container.
Systems and methods for processing geographical zones are provided. The method involves operating at least one processor to: define a bounding box surrounding a geographical zone; iteratively partition the bounding box into a plurality of bounding boxes by, starting with the bounding box in the first iteration: determine whether the bounding box contains more than a predetermined maximum number of vertices; divide the bounding box into two additional bounding boxes if the bounding box contains more than the predetermined maximum number of vertices, repeat the steps of determining and dividing the bounding box for the additional bounding boxes in the next iteration until each additional bounding box does not contain more than the predetermined maximum number of vertices; generate a binary tree data structure representing the geographical zone; search the binary tree data structure to determine whether a vehicle is located within one of the bounding boxes.
Systems, methods, devices, and models determining fuel level in vehicles are described. Raw fuel sensor data tends to be noisy and of low quality. Herein, operational data is collected, which is used to determine times when motion of the vehicle is stable. Raw fuel sensor data for these times is collected in a data subset, which is used to determine fuel level. Quality fuel sensor data is thus obtained. Fuel data can be combined over different time periods to provide a prompt initial fuel level, and an intermittent fuel level during a trip.
Systems, methods, devices, and models determining fuel level in vehicles are described. Raw fuel sensor data tends to be noisy and of low quality. Herein, operational data is collected, which is used to determine times when motion of the vehicle is stable. Raw fuel sensor data for these times is collected in a data subset, which is used to determine fuel level. Quality fuel sensor data is thus obtained. Fuel data can be combined over different time periods to provide a prompt initial fuel level, and an intermittent fuel level during a trip.
Systems and methods for detecting rolling stops are discussed. A stop sign is first identified in image data at vehicle devices. The image data of the strop sign and movement data for a speed of the vehicle are sent to a management device. The management device can verify presence of the stop sign, and determine whether the vehicle made a complete stop at the stop sign based on the movement data, a threshold speed, and a stop time threshold.
G08G 1/052 - Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
Disclosed herein are systems and methods for identifying service centers. One of such methods may comprise operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; determine for each of the plurality of vehicles, using the telematics data, when a vehicle maintenance event has occurred by identifying at least a binary vehicle status indicator change, time-logged telematics data that meets a predetermined condition, an indication that a vehicle diagnosis has occurred, or a combination thereof; determine, using the telematics data, a location of each of the plurality of vehicles at a time at which the vehicle maintenance event occurred; and identify one or more service centers by: applying to a plurality of maintenance event locations a clustering model, and classifying one or more clusters of maintenance event locations as a service center.
G06Q 10/20 - Administration of product repair or maintenance
G06Q 50/40 - Business processes related to the transportation industry
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
21.
Systems for identifying coupling between vehicles and charge stations
The systems, methods, and devices for identifying pairings between vehicles and charge stations are described. In the absence of explicit communication or handshaking between a vehicle and a charge station, location data and charge timing data between charge stations and vehicles is compared. Probabilistic coupling between vehicles and charge stations is determined. Further, overall coupling likelihood for a plurality of vehicles and a plurality of charge stations is determined by comparing scenarios of different coupling combinations.
The systems, methods, and devices for identifying pairings between vehicles and charge stations are described. In the absence of explicit communication or handshaking between a vehicle and a charge station, location data and charge timing data between charge stations and vehicles is compared. Probabilistic coupling between vehicles and charge stations is determined. Further, overall coupling likelihood for a plurality of vehicles and a plurality of charge stations is determined by comparing scenarios of different coupling combinations.
Disclosed herein are systems and methods for predicting collision risk associated with a roadway intersection. The methods may comprise operating at least one processor to: receive map data and telematics data originating from telematics devices installed in a plurality of vehicles; identify, using the map data, one or more roadway intersections; determine, using the telematics data and/or map data, for each of the one or more roadway intersections, one or more roadway intersection metrics thereof; determine a hazard rating for each roadway of each roadway intersection; and generate a collision probability for each roadway intersection by inputting into a machine learning model the one or more roadway intersection metrics and the hazard rating of each roadway thereof, the collision probability representing a risk of collision for a vehicle traversing the intersection.
An electric harness for supplying electric power from a primary electronic device to a secondary electronic device that makes inrush current demands. The electric harness includes a main branch with a current limiter, and a secondary branch with an electric energy storage device. When the secondary electronic device makes an inrush current demand, the electric energy storage device supplies an auxiliary electric current in the auxiliary branch which when added to a main current in the main branch, meets the inrush current demands.
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
H02J 7/34 - Parallel operation in networks using both storage and other DC sources, e.g. providing buffering
B60R 16/02 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric
25.
POWER MANAGEMENT IN A SOLAR-POWERED ELECTRONIC DEVICE
An electronic device powered by a solar panel and a rechargeable battery. The electronic device prevents draining of the rechargeable battery through the solar panel when the solar panel is unable to provide sufficient energy to power the electronic device. The electronic device prevents unnecessary charging and discharging of the rechargeable battery by disconnecting the rechargeable battery when the rechargeable battery is fully charged. The electronic device detects and reports a defective rechargeable battery by powering the electronic device off of the solar panel. The electronic device detects and handles brownout conditions when powered by the solar panel by re-connecting the rechargeable battery.
H02S 50/00 - Monitoring or testing of PV systems, e.g. load balancing or fault identification
H02J 7/35 - Parallel operation in networks using both storage and other DC sources, e.g. providing buffering with light sensitive cells
H03K 17/687 - Electronic switching or gating, i.e. not by contact-making and -breaking characterised by the use of specified components by the use, as active elements, of semiconductor devices the devices being field-effect transistors
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Transportation analytics software; Application Programming
Interface (API) for integrating transportation insights;
computer software for collecting, monitoring, assessing,
analyzing, processing, viewing, reporting on and providing
insights into data relating to vehicle traffic, including
parking and stopping data, routes, vehicle type, vehicle
vocation, transportation patterns, road networks and
infrastructure electrification; computer software for
collecting, monitoring, assessing, analyzing, processing,
viewing, reporting on vehicle and traffic data for providing
insights into road transportation management, vehicle
traffic management, road transportation route patterns, road
transportation infrastructure and network management,
vehicle traffic infrastructure and network management, and
the efficiency and safety thereof, and infrastructure
electrification; computer software, namely, application
programming interface (API) for collecting, monitoring,
assessing, analyzing, processing, viewing, reporting on and
providing insights into data relating to vehicle traffic,
including parking and stopping data, routes, vehicle type,
vehicle vocation, transportation patterns, road networks and
infrastructure electrification; computer software, namely,
application programming interface (API) for collecting,
monitoring, assessing, analyzing, processing, viewing,
reporting on vehicle and traffic data for providing insights
into road transportation management, vehicle traffic
management, road transportation route patterns, road
transportation infrastructure and network management,
vehicle traffic infrastructure and network management, and
the efficiency and safety thereof, and infrastructure
electrification. Providing online non-downloadable software for
transportation analytics; providing online non-downloadable
software, namely Application Programming Interface (API) for
integrating transportation insights; providing online,
non-downloadable computer software for collecting,
monitoring, assessing, analyzing, processing, viewing,
reporting on and providing insights into data relating to
vehicle traffic, including parking and stopping data,
routes, vehicle type, vehicle vocation, transportation
patterns, road networks and infrastructure electrification;
providing online, non-downloadable computer software for
collecting, monitoring, assessing, analyzing, processing,
viewing, reporting on vehicle and traffic data for providing
insights into road transportation management, vehicle
traffic management, road transportation route patterns, road
transportation infrastructure and network management,
vehicle traffic infrastructure and network management, and
the efficiency and safety thereof, and infrastructure
electrification; providing online, non-downloadable computer
software, namely, application programming interface (API)
for collecting, monitoring, assessing, analyzing,
processing, viewing, reporting on and providing insights
into data relating to vehicle traffic, including parking and
stopping data, routes, vehicle type, vehicle vocation,
transportation patterns, road networks and infrastructure
electrification; providing online, non-downloadable computer
software, namely, application programming interface (API)
for collecting, monitoring, assessing, analyzing,
processing, viewing, reporting on vehicle and traffic data
for providing insights into road transportation management,
vehicle traffic management, road transportation route
patterns, road transportation infrastructure and network
management, vehicle traffic infrastructure and network
management, and the efficiency and safety thereof, and
infrastructure electrification; platform as a service (PaaS)
featuring computer software platforms for collecting,
monitoring, assessing, analyzing, processing, viewing,
reporting on and providing insights into data relating to
vehicle traffic, including parking and stopping data,
routes, vehicle type, vehicle vocation, transportation
patterns, road networks and infrastructure electrification;
platform as a service (PaaS) featuring computer software
platforms for collecting, monitoring, assessing, analyzing,
processing, viewing, reporting on vehicle and traffic data
for providing insights into road transportation management,
vehicle traffic management, road transportation route
patterns, road transportation infrastructure and network
management, vehicle traffic infrastructure and network
management, and the efficiency and safety thereof, and
infrastructure electrification.
27.
SYSTEMS AND METHODS FOR ESTIMATING A REMAINING USEFUL LIFE OF VEHICLE ENGINE OIL
Disclosed herein are systems and methods for estimating remaining useful life of vehicle engine oil. Such methods may comprise operating at least one processor to: receive telematics data originating from a plurality of vehicles, the telematics data comprising odometer data and engine oil quality data associated with each of the plurality of vehicles; determine, for one or more of the plurality of vehicles, a start point of a current oil cycle based on when an oil cycle event previously occurred by identifying within the engine oil quality data: a first series of engine oil quality datapoints, and a second series of engine oil quality datapoints immediately following the first series, a difference between a final datapoint of the first series and an initial datapoint of the second series being greater than a predetermined threshold; synchronize the odometer data and the engine oil quality data by associating odometer datapoints and engine oil quality datapoints reported within a same time period; determine a remaining useful vehicle engine oil distance by applying to synchronized odometer and engine oil quality data reported during the current oil cycle a regression model; and determine a remaining useful vehicle engine oil time by converting the remaining useful vehicle engine oil distance thereto based on an average difference in odometer datapoints reported during a selected time period, whereby the remaining useful life of vehicle engine oil is estimated based on vehicle operational factors associated with the current oil cycle, and independently from those of a previous oil cycle.
G07C 5/10 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time using counting means or digital clocks
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/04 - Registering or indicating driving, working, idle, or waiting time only using counting means or digital clocks
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Transportation analytics software; Application Programming
Interface (API) for integrating transportation insights;
computer software for collecting, monitoring, assessing,
analyzing, processing, viewing, reporting on and providing
insights into data relating to vehicle traffic, including
parking and stopping data, routes, vehicle type, vehicle
vocation, transportation patterns, road networks and
infrastructure electrification; computer software for
collecting, monitoring, assessing, analyzing, processing,
viewing, reporting on vehicle and traffic data for providing
insights into road transportation management, vehicle
traffic management, road transportation route patterns, road
transportation infrastructure and network management,
vehicle traffic infrastructure and network management, and
the efficiency and safety thereof, and infrastructure
electrification; computer software, namely, application
programming interface (API) for collecting, monitoring,
assessing, analyzing, processing, viewing, reporting on and
providing insights into data relating to vehicle traffic,
including parking and stopping data, routes, vehicle type,
vehicle vocation, transportation patterns, road networks and
infrastructure electrification; computer software, namely,
application programming interface (API) for collecting,
monitoring, assessing, analyzing, processing, viewing,
reporting on vehicle and traffic data for providing insights
into road transportation management, vehicle traffic
management, road transportation route patterns, road
transportation infrastructure and network management,
vehicle traffic infrastructure and network management, and
the efficiency and safety thereof, and infrastructure
electrification. Providing online non-downloadable software for
transportation analytics; providing online non-downloadable
software, namely Application Programming Interface (API) for
integrating transportation insights; providing online,
non-downloadable computer software for collecting,
monitoring, assessing, analyzing, processing, viewing,
reporting on and providing insights into data relating to
vehicle traffic, including parking and stopping data,
routes, vehicle type, vehicle vocation, transportation
patterns, road networks and infrastructure electrification;
providing online, non-downloadable computer software for
collecting, monitoring, assessing, analyzing, processing,
viewing, reporting on vehicle and traffic data for providing
insights into road transportation management, vehicle
traffic management, road transportation route patterns, road
transportation infrastructure and network management,
vehicle traffic infrastructure and network management, and
the efficiency and safety thereof, and infrastructure
electrification; providing online, non-downloadable computer
software, namely, application programming interface (API)
for collecting, monitoring, assessing, analyzing,
processing, viewing, reporting on and providing insights
into data relating to vehicle traffic, including parking and
stopping data, routes, vehicle type, vehicle vocation,
transportation patterns, road networks and infrastructure
electrification; providing online, non-downloadable computer
software, namely, application programming interface (API)
for collecting, monitoring, assessing, analyzing,
processing, viewing, reporting on vehicle and traffic data
for providing insights into road transportation management,
vehicle traffic management, road transportation route
patterns, road transportation infrastructure and network
management, vehicle traffic infrastructure and network
management, and the efficiency and safety thereof, and
infrastructure electrification; platform as a service (PaaS)
featuring computer software platforms for collecting,
monitoring, assessing, analyzing, processing, viewing,
reporting on and providing insights into data relating to
vehicle traffic, including parking and stopping data,
routes, vehicle type, vehicle vocation, transportation
patterns, road networks and infrastructure electrification;
platform as a service (PaaS) featuring computer software
platforms for collecting, monitoring, assessing, analyzing,
processing, viewing, reporting on vehicle and traffic data
for providing insights into road transportation management,
vehicle traffic management, road transportation route
patterns, road transportation infrastructure and network
management, vehicle traffic infrastructure and network
management, and the efficiency and safety thereof, and
infrastructure electrification.
29.
METHODS FOR ANALYSIS OF VEHICLE ELECTRICAL SYSTEM PERFORMANCE
The present disclosure relates to systems and methods for analyzing health of vehicle batteries and vehicle electrical systems. Vehicle batteries, as well as other components of a vehicle electrical system, tend to degrade over time, and eventually fail. The described systems and methods generate an electrical system metric based on electrical data from a plurality of vehicles. Electrical system performance of individual vehicles is compared to the generated electrical system metric, to determine electrical system performance of vehicles relative to other similar vehicles.
G01R 31/3835 - Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
The present systems, devices, and methods relate to managing vehicle battery charging. Payment for charging is preauthorized, and a receipt for preauthorization is sent from a payment management device to a user device when the user device has access to internet or cellular communications. This preauthorization receipt is later sent from the user device to a charge station where internet or cellular communication is not available, to enable charging of the vehicle battery at the charge station. Another receipt is sent from the charge station to the user device after charging of the vehicle, indicating a payment amount for actual energy used to charge the battery. Later, when the user device has access to cellular or internet communications, the user device sends the receipt indicating payment amount for actual energy used to the payment management device, for final payment balancing.
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior. Following distance over time is determined, and simplified following distance data is generated for use at a management device.
B60W 30/16 - Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G08G 1/01 - Detecting movement of traffic to be counted or controlled
H04W 4/029 - Location-based management or tracking services
H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
32.
SYSTEMS AND METHODS FOR GENERATING VEHICLE SAFETY SCORES AND PREDICTING VEHICLE COLLISION PROBABILITIES
Systems and methods for predicting collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including location data and a plurality of safety exception events performed by the vehicle, the plurality of safety exception events including a plurality of exception event types; identify a plurality of road network edges traveled by the vehicle based on the location data; determine an aggregated area collision rate based on the plurality of road network edges; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; and determine a collision probability using at least one machine learning model on the plurality of exception rates and the aggregated area collision rate, the collision probability representing a risk of collision.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer hardware and software for GPS-based vehicle
tracking and GPS-based fleet management solutions; computer
software for vehicle fleet management; computer software for
vehicle fleet management, namely, collecting, optimizing,
processing, and analyzing data related to vehicles and
vehicle fleets and generating reports and insights based on
collected data and analytics of collected data; data mining
software for vehicle fleet management. Software as a service (Saas) featuring online,
non-downloadable software for use in vehicle fleet
management, collecting, optimizing, processing and analyzing
data related to vehicles and vehicle fleets and generating
reports and insights based on collected data and analytics
of collected data; platform as a service (PaaS) for use in
vehicle fleet management, collecting, optimizing,
processing, and analyzing data related to vehicles and
vehicle fleets and generating reports and insights based on
collected data and analytics of collected data; data mining
of vehicles and vehicle fleets for vehicle fleet management;
software as a service (SaaS) featuring online,
non-downloadable software for data mining, data query and
data analysis of data collected from vehicles and vehicle
fleets; software as a service (SaaS) featuring online,
non-downloadable software for route planning and route
optimization for vehicles and vehicle fleets; software as a
service (SaaS) featuring online, non-downloadable software
for providing vehicle driver coaching.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a service (Saas) featuring online,
non-downloadable software for use in vehicle fleet
management, collecting, optimizing, processing and analyzing
data related to vehicles and vehicle fleets and generating
reports and insights based on collected data and analytics
of collected data; platform as a service (PaaS) for use in
vehicle fleet management, collecting, optimizing, processing
and analyzing data related to vehicles and vehicle fleets
and generating reports and insights based on collected data
and analytics of collected data; data mining of vehicles and
vehicle fleets, and vehicle fleet management; software as a
service (SaaS) featuring online, non-downloadable software
for data mining, data query and data analysis of data
collected from vehicles and vehicle fleets; software as a
service (SaaS) featuring online, non-downloadable software
for route planning and route optimization for vehicles and
vehicle fleets; software as a service (SaaS) featuring
online, non-downloadable software for providing vehicle
driver coaching.
35.
SYSTEMS AND METHODS FOR RETRIEVING TELEMATICS DATA
The present disclosure relates to systems and methods for retrieving telematics data as well as for training machine learning models. A method for retrieving telematics data may comprise operating at least one processor to: provide a plurality of databases, each database storing at least telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; receive a natural language request from a user, the natural language request comprising at least one textual question relating to the telematics data stored within one of the plurality of databases; generate, using a large language model (LLM) that does not have access to the plurality of databases, an executable query for retrieving a portion of the telematics data that is responsive to the natural language request from the database by inputting into the LLM at least: a contextual prompt, the contextual prompt providing to the LLM at least one or more features of the database, an expected structure of the executable query, and one or more example natural language requests and corresponding executable query outputs, and the natural language request; execute the executable query for retrieving the portion of the telematics data from the database; and return at least the portion of the telematics data to the user, whereby the natural language request is responded to without providing the LLM with access to the telematics data stored on the plurality of databases.
The present disclosure relates to systems and methods for identifying vehicle asset pairings. For example, a method for identifying a vehicle asset pairing, the method comprising operating at least one processor to: receive telematics data comprising geospatial data associated with a plurality of vehicle assets; identify one or more positions of each of the plurality of vehicle assets reported within a selected timeframe; define a search zone based on a selected reported position of a selected vehicle asset; identify one or more candidate vehicle asset pairings, each candidate vehicle asset pairing being between the selected vehicle asset and a candidate vehicle asset having at least one reported position located within the search zone; identify, if the candidate vehicle asset has two or more reported positions within the search zone, a first reported position and a second reported position of the candidate vehicle asset; generate an interpolated position of the candidate vehicle asset based on the first reported position and the second reported position thereof that is most proximate the selected reported position, for each candidate vehicle asset pairing; and identify the vehicle asset pairing based at least in part on a distance of the interpolated position from the selected reported position, of each candidate vehicle asset pairing.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Electronic video data collection devices; computer software
for analyzing data from video data collection devices for
use in detection and analysis of vehicle collisions and
accidents, detection and analysis of vehicle and driver
behaviors, vehicle and driver risk management, and vehicle
and driver safety management. Software as a service featuring online, non-downloadable
software for analyzing data from video data collection
devices for use in detection and analysis of vehicle
collisions and accidents, detection and analysis of vehicle
and driver behaviors, vehicle and driver risk management,
and vehicle and driver safety management.
Described herein are methods of processing telematics data that include receiving initial telematics data related to a vehicle from a telematics device and processing the initial telematics data to generate processed telematics data. For each recipient of a plurality of recipients, the methods additionally include determining, from the initial telematics data and/or the processed telematics data, data that is to be made accessible to a recipient. Determining the data that is to be made accessible to the recipient comprises evaluating one or more constraints for the recipient that constrain what data the recipient is permitted to receive and determining what data has been requested to be provided to the recipient. For each recipient of a plurality of recipients, the methods additionally include distributing the determined data to the recipient. Also described herein are systems for processing telematics data in accordance with the described methods.
Arranging subscriptions for others to vehicle telematics
services, vehicle fleet management services, stationary
asset tracking and management services, mobile asset
tracking and management services, vehicle driver management
services, and data analytics services therefor; arranging
subscription packages for others including vehicle
telematics services, vehicle fleet management services;
arranging subscription packages for others including vehicle
telematics services, vehicle fleet management services,
stationary asset tracking and management services; arranging
subscription packages for others including mobile asset
tracking and management services, vehicle driver management
services; arranging subscription packages for others
including data analytics services therefor bundled with
vehicle data collection devices and accessories, namely
vehicle telematics devices, global positioning system GPS
navigation and tracking devices, vehicle cameras, and cables
and connectors therefor.
The present systems, devices, and methods relate to managing shared vehicle access. Vehicle access can be provided to a candidate user based on whether the user is included in a list of at least one user associated with a respective virtual key. Virtual keys can be created, or lists of at least one user can be updated to include the candidate user, to in turn provide vehicle access. Virtual keys can be stored in a plurality of virtual key slots, with vehicle access being provided based on a virtual key stored in an active key slot. Status reports can be sent to a reservation management device, for updating virtual keys or lists of at least one user.
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior. Following distance over time is determined, and simplified following distance data is generated for use at a management device.
G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G08G 1/01 - Detecting movement of traffic to be counted or controlled
H04W 4/029 - Location-based management or tracking services
H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Transportation analytics software; Application Programming Interface (API) for integrating transportation insights; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification. (1) Providing online non-downloadable software for transportation analytics; providing online non-downloadable software, namely Application Programming Interface (API) for integrating transportation insights; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Transportation analytics software; Application Programming Interface (API) for integrating transportation insights; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification. Providing online non-downloadable software for transportation analytics; providing online non-downloadable software, namely Application Programming Interface (API) for integrating transportation insights; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Transportation analytics software; Application Programming Interface (API) for integrating transportation insights; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification. (1) Providing online non-downloadable software for transportation analytics; providing online non-downloadable software, namely Application Programming Interface (API) for integrating transportation insights; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Transportation analytics software; Application Programming Interface (API) for integrating transportation insights; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification. Providing online non-downloadable software for transportation analytics; providing online non-downloadable software, namely Application Programming Interface (API) for integrating transportation insights; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification.
46.
DEVICE FOR CAPTURING VOLTAGE-BASED EVENTS IN MOTOR VEHICLES
A device capable of detecting and capturing both cranking and operating events is provided. The device uses the same components to detect operating voltage for either electric or combustion vehicles, and to detect and facilitate capturing cranking events.
G01R 31/36 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
(1) Arranging subscriptions for others to vehicle telematics services, vehicle fleet management services, stationary asset tracking and management services, mobile asset tracking and management services, vehicle driver management services, and data analytics services therefor; arranging subscription packages for others including vehicle telematics services, vehicle fleet management services; arranging subscription packages for others including vehicle telematics services, vehicle fleet management services, stationary asset tracking and management services; arranging subscription packages for others including mobile asset tracking and management services, vehicle driver management services; arranging subscription packages for others including data analytics services therefor bundled with vehicle data collection devices and accessories, namely vehicle telematics devices, global positioning system GPS navigation and tracking devices, vehicle cameras, and cables and connectors therefor.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Electronic video data collection devices; computer software for analyzing data from video data collection devices for use in detection and analysis of vehicle collisions and accidents, detection and analysis of vehicle and driver behaviors, vehicle and driver risk management, and vehicle and driver safety management. (1) Software as a service featuring online, non-downloadable software for analyzing data from video data collection devices for use in detection and analysis of vehicle collisions and accidents, detection and analysis of vehicle and driver behaviors, vehicle and driver risk management, and vehicle and driver safety management.
Arranging subscriptions for others to vehicle telematics services, vehicle fleet management services, stationary asset tracking and management services, mobile asset tracking and management services, vehicle driver management services, and data analytics services therefor; arranging subscription packages for others including vehicle telematics services, vehicle fleet management services; arranging subscription packages for others including vehicle telematics services, vehicle fleet management services, stationary asset tracking and management services; arranging subscription packages for others including mobile asset tracking and management services, vehicle driver management services; arranging subscription packages for others including data analytics services therefor bundled with vehicle data collection devices and accessories, namely vehicle telematics devices, global positioning system GPS navigation and tracking devices, vehicle cameras, and cables and connectors therefor.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Electronic video data collection devices, namely, video recorders; downloadable and recorded computer software for analyzing data from video data collection devices for use in detection and analysis of vehicle collisions and accidents, detection and analysis of vehicle and driver behaviors, vehicle and driver risk management, and vehicle and driver safety management Software as a service featuring online, non-downloadable software for analyzing data from video data collection devices for use in detection and analysis of vehicle collisions and accidents, detection and analysis of vehicle and driver behaviors, vehicle and driver risk management, and vehicle and driver safety management
Described herein are antenna configurations that, in some embodiments, may be advantageously tuned to achieve desired electromagnetic performance over multiple resonant frequencies by providing control, in the design process, over some or all of the desired resonant frequencies. Such antenna configurations, in some embodiments, may be configured to achieve a large frequency bandwidth in a static physical layout, without necessarily resorting to a reconfigurable feed path.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Computer hardware and software for GPS-based vehicle tracking and GPS-based fleet management solutions; computer software for vehicle fleet management; computer software for vehicle fleet management, namely, collecting, optimizing, processing, and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; data mining software for vehicle fleet management. (1) Software as a service (Saas) featuring online, non-downloadable software for use in vehicle fleet management, collecting, optimizing, processing and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; platform as a service (PaaS) for use in vehicle fleet management, collecting, optimizing, processing, and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; data mining of vehicles and vehicle fleets for vehicle fleet management; software as a service (SaaS) featuring online, non-downloadable software for data mining, data query and data analysis of data collected from vehicles and vehicle fleets; software as a service (SaaS) featuring online, non-downloadable software for route planning and route optimization for vehicles and vehicle fleets; software as a service (SaaS) featuring online, non-downloadable software for providing vehicle driver coaching.
53.
SYSTEMS AND METHODS FOR IDENTIFYING VEHICLE STOP ZONES
Disclosed are systems for identifying vehicle stop zones. The systems comprise: at least one data storage operable to store at least telematics data and map data; and at least one processor in communication with the at least one data storage, the at least one processor operable to: define a search zone, using the map data, corresponding to a geographical area within which vehicle stop zones are to be identified; identify, using the telematics data, a plurality of vehicle stop points located within the search zone, each of the vehicle stop points representing a location at which a vehicle stopped; dynamically partition the search zone into a plurality of search subzones based at least in part on a number of vehicle stop points present within the search zone; within each search subzone, identify one or more vehicle stop clusters, each vehicle stop cluster comprising at least one of the vehicle stop points; and identify vehicle stop zones by combining vehicle stop clusters that share one or more of the vehicle stop points. Also disclosed are methods for identifying vehicle stop zones and non-transitory computer-readable mediums having instructions stored thereon executable by at least one processor to implement the methods.
The present systems, devices, and methods relate to managing shared vehicle access. Authorization policies are stored at a network device, and are provided to vehicle devices. Authorization policies each include an authentication scheme, a list of permitted vehicle operations, and a list of requirements to perform vehicle operations. In this way, whether even if a user is authenticated to access a vehicle, vehicle access is controlled based one whether the user is permitted to perform vehicle operations, and whether requirements are met to perform vehicle operations. This provides a flexible and robust vehicle access system. Authorization Policies are distributed to vehicle device in an Access Configuration, which can be updated.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Software as a service (Saas) featuring online, non-downloadable software for use in vehicle fleet management, collecting, optimizing, processing and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; platform as a service (PaaS) for use in vehicle fleet management, collecting, optimizing, processing and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; data mining of vehicles and vehicle fleets, and vehicle fleet management; software as a service (SaaS) featuring online, non-downloadable software for data mining, data query and data analysis of data collected from vehicles and vehicle fleets; software as a service (SaaS) featuring online, non-downloadable software for route planning and route optimization for vehicles and vehicle fleets; software as a service (SaaS) featuring online, non-downloadable software for providing vehicle driver coaching.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SaaS) services featuring intelligent
computer software used for vehicle fleet management;
software as a service (SaaS) services featuring intelligent
computer software used for querying and analyzing movable
asset data, vehicle data and vehicle fleet data to generate
analysis and insights for vehicle and asset management,
vehicle fleet management; software as a service (SaaS)
services featuring intelligent computer software used for
querying and analyzing movable asset data, vehicle data and
vehicle fleet data to generate analysis and insights for
maintenance for movable assets, vehicles and vehicle fleets,
optimization of routing and navigation, asset tracking;
software as a service (SaaS) services featuring intelligent
computer software used for querying and analyzing movable
asset data, vehicle data and vehicle fleet data to generate
analysis and insights for driver behavior monitoring and
coaching, vehicle and movable asset inventory management,
fuel efficiency optimization, dispatching and compliance.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SaaS) services featuring intelligent
computer software used for vehicle fleet management;
software as a service (SaaS) services featuring intelligent
computer software used for querying and analyzing movable
asset data, vehicle data and vehicle fleet data to generate
analysis and insights for vehicle and asset management,
vehicle fleet management; software as a service (SaaS)
services featuring intelligent computer software used for
querying and analyzing movable asset data, vehicle data and
vehicle fleet data to generate analysis and insights for
maintenance for movable assets, vehicles and vehicle fleets,
optimization of routing and navigation, asset tracking;
software as a service (SaaS) services featuring intelligent
computer software used for querying and analyzing movable
asset data, vehicle data and vehicle fleet data to generate
analysis and insights for driver behavior monitoring and
coaching, vehicle and movable asset inventory management,
fuel efficiency optimization, dispatching and compliance.
A T-harness for use in vehicles is provided. The T-harness has a main harness portion and a removable harness portion. The main harness portion has a vehicle OBD harness connector including a splitter, a telematics device harness connector, a telematics device harness segment connecting the vehicle OBD connector to the telematics device harness connector, a receptacle connector, and an auxiliary harness segment connecting the vehicle OBD connector to the receptacle connector. The removable harness portion has an auxiliary OBD harness connector, a plug connector configured for mating with the receptacle connector, and a multi-wire cable connecting the plug connector to the auxiliary OBD harness connector. A method of installing the T-harness in the vehicle is also provided.
B60R 16/02 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric
B60R 16/023 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for transmission of signals between vehicle parts or subsystems
H01R 13/642 - Means for preventing, inhibiting or avoiding incorrect coupling by position or shape of contact members
H01R 13/73 - Means for mounting coupling parts to apparatus or structures, e.g. to a wall
H01R 27/02 - Coupling parts adapted for co-operation with two or more dissimilar counterparts for simultaneous co-operation with two or more counterparts
H01R 31/06 - Intermediate parts for linking two coupling parts, e.g. adapter
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior. Following distance over time is determined, and simplified following distance data is generated for use at a management device.
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
B60W 30/16 - Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
60.
Systems and methods for detecting and removing erroneous tire pressure values
Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
62.
SYSTEMS AND METHODS FOR TRAINING A MODEL FOR DETERMINING VEHICLE FOLLOWING DISTANCE
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
64.
Systems for determining and reporting vehicle following distance
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior. Following distance over time is determined, and simplified following distance data is generated for use at a management device.
G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G08G 1/01 - Detecting movement of traffic to be counted or controlled
H04W 4/029 - Location-based management or tracking services
H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
A method by a telematics device for identifying an asset platform for an asset coupled to the telematics device is provided. The asset has a multi-interface port and the telematics device determines the asset platform based on matching tags on both a primary interface and a secondary interface. Identifying the asset platform aids in obtaining asset data and avoiding operational interference.
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
G08G 1/00 - Traffic control systems for road vehicles
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Transportation analytics software; Application Programming Interface (API) for integrating transportation insights; Computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; Computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification. Providing online non-downloadable software for transportation analytics; Providing online non-downloadable software, namely Application Programming Interface (API) for integrating transportation insights; Providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; Providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; Platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Transportation analytics software; Application Programming Interface (API) for integrating transportation insights; Computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; Computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification. Providing online non-downloadable software for transportation analytics; Providing online non-downloadable software, namely Application Programming Interface (API) for integrating transportation insights; Providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Providing online, non-downloadable computer software for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; Providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Providing online, non-downloadable computer software, namely, application programming interface (API) for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification; Platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on and providing insights into data relating to vehicle traffic, including parking and stopping data, routes, vehicle type, vehicle vocation, transportation patterns, road networks and infrastructure electrification; Platform as a service (PaaS) featuring computer software platforms for collecting, monitoring, assessing, analyzing, processing, viewing, reporting on vehicle and traffic data for providing insights into road transportation management, vehicle traffic management, road transportation route patterns, road transportation infrastructure and network management, vehicle traffic infrastructure and network management, and the efficiency and safety thereof, and infrastructure electrification.
70.
ELECTRONIC DEVICE HOUSING WITH INTEGRATED BATTERY COMPARTMENT
A housing for an electronic device having an integrated battery compartment is provided. The integrated battery compartment has battery contacts and battery retainers that maintain batteries in place despite motion or impact forces.
H01M 50/247 - MountingsSecondary casings or framesRacks, modules or packsSuspension devicesShock absorbersTransport or carrying devicesHolders specially adapted for portable devices, e.g. mobile phones, computers, hand tools or pacemakers
H01M 50/213 - Racks, modules or packs for multiple batteries or multiple cells characterised by their shape adapted for cells having curved cross-section, e.g. round or elliptic
H01M 50/284 - MountingsSecondary casings or framesRacks, modules or packsSuspension devicesShock absorbersTransport or carrying devicesHolders with incorporated circuit boards, e.g. printed circuit boards [PCB]
H01M 50/289 - MountingsSecondary casings or framesRacks, modules or packsSuspension devicesShock absorbersTransport or carrying devicesHolders characterised by spacing elements or positioning means within frames, racks or packs
71.
Electronic device housing with integrated battery compartment
A housing for an electronic device having an integrated battery compartment is provided. The integrated battery compartment has battery contacts and battery retainers that maintain batteries in place despite motion or impact forces.
H01M 50/247 - MountingsSecondary casings or framesRacks, modules or packsSuspension devicesShock absorbersTransport or carrying devicesHolders specially adapted for portable devices, e.g. mobile phones, computers, hand tools or pacemakers
H01M 50/213 - Racks, modules or packs for multiple batteries or multiple cells characterised by their shape adapted for cells having curved cross-section, e.g. round or elliptic
H01M 50/284 - MountingsSecondary casings or framesRacks, modules or packsSuspension devicesShock absorbersTransport or carrying devicesHolders with incorporated circuit boards, e.g. printed circuit boards [PCB]
H01M 50/289 - MountingsSecondary casings or framesRacks, modules or packsSuspension devicesShock absorbersTransport or carrying devicesHolders characterised by spacing elements or positioning means within frames, racks or packs
72.
Systems and methods for processing geographical zones
Systems and methods for processing geographical zones are provided. The method involves operating at least one processor to: define a bounding box surrounding a geographical zone; iteratively partition the bounding box into a plurality of bounding boxes by, starting with the bounding box in the first iteration: determine whether the bounding box contains more than a predetermined maximum number of vertices; divide the bounding box into two additional bounding boxes if the bounding box contains more than the predetermined maximum number of vertices, repeat the steps of determining and dividing the bounding box for the additional bounding boxes in the next iteration until each additional bounding box does not contain more than the predetermined maximum number of vertices; generate a binary tree data structure representing the geographical zone; search the binary tree data structure to determine whether a vehicle is located within one of the bounding boxes.
This disclosure proposes a system in which two redundant asset tracking devices are used to monitor a single asset (such as a vehicle, which may contain a group of assets in cargo) via two distinct communication systems that operate in parallel, and which may operate in addition to any primary mode of communication used by the asset tracking devices (e.g., cellular communication). In some examples, each asset tracking device may communicate through separate and distinct satellite communication networks.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Software as service (SaaS) services featuring intelligent computer software used for vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for vehicle and asset management, vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for maintenance for movable assets, vehicles and vehicle fleets, optimization of routing and navigation, asset tracking; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for driver behavior monitoring and coaching, vehicle and movable asset inventory management, fuel efficiency optimization, dispatching and compliance.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SaaS) services featuring intelligent computer software used for vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for vehicle and asset management and vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for maintenance for movable assets, vehicles and vehicle fleets, optimization of routing and navigation, and asset tracking; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for driver behavior monitoring and coaching, vehicle and movable asset inventory management, and fuel efficiency optimization, dispatching and compliance
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as service (SaaS) services featuring intelligent computer software used for vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for vehicle and asset management and vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for maintenance for movable assets, vehicles and vehicle fleets, optimization of routing and navigation, and asset tracking; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for driver behavior monitoring and coaching, vehicle and movable asset inventory management, and fuel efficiency optimization, dispatching and compliance
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Software as service (SaaS) services featuring intelligent computer software used for vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for vehicle and asset management, vehicle fleet management; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for maintenance for movable assets, vehicles and vehicle fleets, optimization of routing and navigation, asset tracking; software as a service (SaaS) services featuring intelligent computer software used for querying and analyzing movable asset data, vehicle data and vehicle fleet data to generate analysis and insights for driver behavior monitoring and coaching, vehicle and movable asset inventory management, fuel efficiency optimization, dispatching and compliance.
78.
Systems and methods for processing geographical zones
Systems and methods for processing geographical zones are provided. The method involves operating at least one processor to: define a bounding box surrounding a geographical zone; iteratively partition the bounding box into a plurality of bounding boxes by, starting with the bounding box in the first iteration: determine whether the bounding box contains more than a predetermined maximum number of vertices; divide the bounding box into two additional bounding boxes if the bounding box contains more than the predetermined maximum number of vertices, repeat the steps of determining and dividing the bounding box for the additional bounding boxes in the next iteration until each additional bounding box does not contain more than the predetermined maximum number of vertices; generate a binary tree data structure representing the geographical zone; search the binary tree data structure to determine whether a vehicle is located within one of the bounding boxes.
This disclosure proposes a system in which two redundant asset tracking devices are used to monitor a single asset (such as a vehicle, which may contain a group of assets in cargo) via two distinct communication systems that operate in parallel, and which may operate in addition to any primary mode of communication used by the asset tracking devices (e.g., cellular communication). In some examples, each asset tracking device may communicate through separate and distinct satellite communication networks.
Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.
A synchronized data set is generated from multiple asynchronous data sets. An interpolated data set is generated for each asynchronous data set, at a higher data rate than recorded data rates for the asynchronous data sets. The interpolated data for each data set is then sampled at a lower data rate which is common to all the interpolated data sets. The sampled data points are synchronized between the different data sets, such that the sampled data points represent a synchronized data set. Input telematic data can be reduced to inflection points in the telematic data, and interpolation and sampling of asynchronous data sets can be limited to threshold time periods around the inflection points.
A host electronic device that supports both Universal Serial Bus (USB) and Controller Area Network (CAN) connections is provided. The host electronic device drives at least one USB signal line and measures the voltage thereof. When the measured voltage indicates a USB connection from a peripheral device, the host electronic device determines that the peripheral device is a USB device. Otherwise, the host electronic device determines that the peripheral device is a CAN device.
Devices and methods for detecting an end of trip by an asset tracker are described. An end of trip may be detected using a Global Navigation Satellite System (GNSS) module or an Inertial Measurement Unit (IMU), such as a three-axis accelerometer. In some implementations, the asset tracker uses the IMU for end of trip detection. In other implementations, the asset tracker uses the IMU for impact detection while using the GNSS module for end of trip detection.
A method for trigger action management in a telematics device, and a telematics device employing the method are provided. The method includes receiving a log and trigger configuration, and in response to detecting a trigger condition, performing an associated action.
Disclosed herein are methods for determining an estimated weight of a vehicle. The methods comprise operating at least one processor to: receive vehicle data associated with the vehicle, the vehicle data comprising a plurality of vehicle parameters collected during operation of the vehicle; identify one or more vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data; and use at least one machine learning model to determine the estimated weight of the vehicle based on the portion of the vehicle data associated with each of the one or more vehicle maneuvers, the at least one machine learning model trained using training data associated with a plurality of previous vehicle maneuvers. Also disclosed are systems for implementing methods of the present disclosure.
B60W 40/00 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit
A telematics device and a method by the telematics device are provided. The method includes detecting a vehicle starting event and sending a first plurality of parameter requests while refraining from sending a second plurality of parameter requests for a requests-off duration after the vehicle starting event. After the expiry of the requests-off duration, sending the second plurality of parameter requests. In response to detecting a vehicle turning off event, sending a third plurality of parameter requests before the expiry of a post vehicle turning off duration.
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
A method of activating an asset tracker from an ultra-low power shipping mode to a motion detection mode. The method includes detecting an activation trigger activity including double-tapping on the housing of the asset tracker, mid-air gestures comprising orientation changes, touch sensing, optical sensing, and loss of proximity with a proximity object in the packaging of the asset container.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/0346 - Pointing devices displaced or positioned by the userAccessories therefor with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
G06F 3/044 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by capacitive means
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Data mining software, in particular for the field of vehicle
fleet management. Software as a service (SaaS) featuring online,
non-downloadable software for use in vehicle fleet
management, in particular for collecting, optimizing,
processing and analyzing data related to vehicles and
vehicle fleets and generating reports and insights based on
collected data and analytics of collected data; platform as
a service (PaaS) for use in vehicle fleet management, in
particular for collecting, optimizing, processing and
analyzing data related to vehicles and vehicle fleets and
generating reports and insights based on collected data and
analytics of collected data; data mining of vehicles and
vehicle fleets, in particular for use in vehicle fleet
management; software as a service (SaaS) featuring online,
non-downloadable software for data mining, data query and
data analysis of data collected from vehicles and vehicle
fleets; software as a service (SaaS) featuring online,
non-downloadable software for route planning and route
optimization for vehicles and vehicle fleets; software as a
service (SaaS) featuring online, non-downloadable software
for providing vehicle driver coaching.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a service (Saas) featuring online, non-downloadable software for use in vehicle fleet management, collecting, optimizing, processing and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; Platform as a Service (PaaS) featuring software for use in vehicle fleet management, collecting, optimizing, processing, and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; data mining of vehicles and vehicle fleets for vehicle fleet management; Software as a Service (SaaS) featuring online, non-downloadable software for data mining, data query and data analysis of data collected from vehicles and vehicle fleets; Software as a Service (SaaS) featuring online, non-downloadable software for route planning and route optimization for vehicles and vehicle fleets; Software as a Service (SaaS) featuring online, non-downloadable software for providing vehicle driver coaching
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer hardware and downloadable software for GPS-based vehicle tracking and GPS-based fleet management; downloadable computer software for vehicle fleet management; downloadable computer software for vehicle fleet management, namely, collecting, optimizing, processing, and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; downloadable data mining software for vehicle fleet management Software as a service (Saas) featuring online, non-downloadable software for use in vehicle fleet management, collecting, optimizing, processing and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; Platform as a Service (PaaS) featuring software for use in vehicle fleet management, collecting, optimizing, processing, and analyzing data related to vehicles and vehicle fleets and generating reports and insights based on collected data and analytics of collected data; data mining of vehicles and vehicle fleets for vehicle fleet management; Software as a Service (SaaS) featuring online, non-downloadable software for data mining, data query and data analysis of data collected from vehicles and vehicle fleets; Software as a Service (SaaS) featuring online, non-downloadable software for route planning and route optimization for vehicles and vehicle fleets; Software as a Service (SaaS) featuring online, non-downloadable software for providing vehicle driver coaching
Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.
H04W 4/02 - Services making use of location information
B60R 21/0132 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to vehicle motion parameters
B60R 21/0134 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to imminent contact with an obstacle
B60W 30/09 - Taking automatic action to avoid collision, e.g. braking and steering
B60W 30/095 - Predicting travel path or likelihood of collision
Systems and methods for grouping telematics vehicle data in one or more zones are provided herein. Systems and methods for generating zones and providing vehicle information associated with the one or more zones are also provided. Systems and methods for parallelizing zone generation and addressing zones disposed adjacent a boundary of a geographical are also provided.
G06F 18/231 - Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
G06F 18/2321 - Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
G06T 11/20 - Drawing from basic elements, e.g. lines or circles
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/06 - Registering or indicating driving, working, idle, or waiting time only in graphical form
G08G 1/00 - Traffic control systems for road vehicles
G08G 1/13 - Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles to a central station the indicator being in the form of a map
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Electronic video data collection devices; computer software for analyzing data from video data collection devices for use in detection and analysis of vehicle collisions and accidents, detection and analysis of vehicle and driver behaviors, vehicle and driver risk management, and vehicle and driver safety management. Software as a service featuring online, non-downloadable software for analyzing data from video data collection devices for use in detection and analysis of vehicle collisions and accidents, detection and analysis of vehicle and driver behaviors, vehicle and driver risk management, and vehicle and driver safety management.
Arranging subscriptions for others to vehicle telematics services, vehicle fleet management services, stationary asset tracking and management services, mobile asset tracking and management services, vehicle driver management services, and data analytics services therefor; arranging subscription packages for others including vehicle telematics services, vehicle fleet management services; arranging subscription packages for others including vehicle telematics services, vehicle fleet management services, stationary asset tracking and management services; arranging subscription packages for others including mobile asset tracking and management services, vehicle driver management services; arranging subscription packages for others including data analytics services therefor bundled with vehicle data collection devices and accessories, namely vehicle telematics devices, global positioning system GPS navigation and tracking devices, vehicle cameras, and cables and connectors therefor.
Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
97.
SYSTEMS AND METHODS FOR DETERMINING VEHICLE VOCATIONS
Systems and methods for determining vehicle vocation are provided. The method involves operating at least one processor to: retrieve telematics data associated with a vehicle, the telematics data originating from a telematics device installed in the vehicle; process the telematics data to extract a plurality of feature datasets, the plurality of feature datasets including: a first dataset associated with distances traveled by the vehicle; a second dataset associated with stops completed by the vehicle; and a third dataset associated with round trips performed by the vehicle; apply a plurality of trained cluster models to the plurality of feature datasets to determine a plurality of vocation probabilities; and determine the vocation of the vehicle based on the plurality of vocation probabilities.
A telematics device having a voltage drop detector and a switchable voltage monitor is provided. The voltage drop detector detects a drop in the battery voltage characteristic of cranking and notifies a controller. In response, the controller switches on the switchable voltage monitor for obtaining the battery voltage. The telematics device may be used in vehicles or other equipment powered by engines.
G01R 31/36 - Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
B60W 10/08 - Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of electric propulsion units, e.g. motors or generators
B60W 10/26 - Conjoint control of vehicle sub-units of different type or different function including control of energy storage means for electrical energy, e.g. batteries or capacitors
G01R 19/165 - Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
99.
SYSTEMS AND METHODS FOR IDENTIFYING AND RANKING TRAFFIC BOTTLENECKS
Disclosed herein are systems and methods for identifying and ranking traffic bottlenecks. An example of such methods may include operating at least one processor to: receive traffic data associated with a road network comprising a plurality of road segments, the traffic data comprising vehicle speed data collected from a plurality of vehicles operating within the road network; determine a benchmark speed for each of the plurality of road segments; determine, for each of the plurality of road segments, whether a traffic disruption is present by comparing the benchmark speed thereof to vehicle speed data collected from at least one vehicle operating therealong; determine, for each of the plurality of road segments having the traffic disruption therealong, one or more road segment metrics associated therewith; identify a traffic bottleneck by aggregating a plurality of adjacent road segments having traffic disruptions therealong and the one or more road segment metrics associated therewith; and rank each traffic bottleneck based on one or more aggregated road segment metrics associated therewith.
Systems and methods for generating vehicle safety scores and vehicle collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including a plurality of safety exception events performed by the vehicle; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; determine plurality of collision sub-probabilities using a plurality of collision probability models and the plurality of exception rates, each collision probability model associated with one of the exception event types and operable to predict one of the collision sub-probabilities based on one of the exception rates of the associated exception event type; and determine a collision probability for the vehicle based on the plurality of collision sub-probabilities.
